AI and automation

AI Match & Recs

Rank candidates against role requirements using structured profile data and transparent evidence.

AI surfaceAI and automation2 workspace modesCore product surface

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Copilot AI recruiter
Compare the final shortlist for the platform role.
Read role brief Read 4 candidates Score evidence
CriterionAveryMina
ArchitectureExcellentExcellent
LeadershipStrongExcellent
AvailabilityExcellentExcellent
Recommend Mina first; Avery stays warm for systems depth.
Source page reference

Recommend the strongest candidates with evidence-backed fit signals.

Every score is paired with evidence, gaps, and reviewer controls.

  • Score skills, experience, location, and role fit together
  • Show the evidence behind every recommendation
  • Separate must-have gaps from nice-to-have tradeoffs
  • Keep recruiters in control with review and override tools
AI Match & Recs source page reference
Core capabilities

What the page needs to make clear.

Build shortlists faster while keeping recruiters in charge.

Fit scoring

Turn complex requirements into comparable fit signals.

Evidence cards

Show the facts behind each score.

Gap analysis

Separate blockers from manageable tradeoffs.

Shortlist builder

Build a review-ready list without scanning every profile manually.

Bias guardrails

Support fair review with consistent criteria.

Decision logs

Track why a recommendation was used, changed, or ignored.

Workflow

AI Match & Recs flow

Teams that want faster shortlists without hiding the reasoning behind each recommendation.

Evidenceper recommendation
Gapsmust-have visibility
Humanreview before action
Logsdecision history
1
Read criteria

Read required skills, nice-to-haves, seniority, and deal breakers.

2
Normalize profiles

Standardize candidate records so every profile compares fairly.

3
Score fit

Calculate fit using criteria, evidence, and recruiter context.

4
Explain evidence

Show strengths, gaps, and supporting profile details.

5
Review shortlist

Approve, reject, or adjust with notes.

6
Take action

Move candidates into outreach, interview, nurture, or rejection workflows.

Enterprise workflow

Built for visible, controlled workflows.

Each feature page exposes the public-safe outcome, the operating controls around it, and the product route it came from.

Outcomes
  • Fit scoring
  • Evidence cards
  • Shortlist review
Controls
  • Human review before consequential actions
  • Evidence-backed recommendations
  • Usage and run-history visibility
  • Workspace-scoped permissions
  • Designed for review, not hidden automation
Source in the product

Generated from the app, refined for buyers.

This marketing mock keeps the feature catalog tied to Syndeo's operator navigation and workspace profiles, then translates it into public-safe product language.

Primary route/operator/search
Source keys
search, candidates, copilot
Workspace modes
Agency, Internal hiring
Routes found
3
Open product route
Related features
Copilot AI RecruiterA recruiter-side assistant that drafts outreach, recommends actions, summarizes activity, and moves work forward with approval.Voice Interview AgentAutomate first-round screening through consent-based voice interviews with transcripts and reviewer packets.Dynamic ProbingAsk deeper follow-ups into experience, examples, gaps, and clarifications while staying aligned to the role and rubric.

Designed to fit the larger Syndeo workflow.

Each application plugs into candidates, workspace permissions, reviews, and audit-ready history so teams can move faster without losing control.

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